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Databricks Data Engineer Jobs in California (NOW HIRING)

Sr Databricks Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Sr Databricks Data Engineer

San Jose, CA · On-site

$134.20K - $161.10K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Sr Databricks Data Engineer

San Diego, CA · On-site

$121.60K - $146K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Sr Databricks Data Engineer

Los Angeles, CA · On-site

$123.40K - $148.20K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

AWS Databricks Data Engineer

Los Angeles, CA · On-site

$123.40K - $148.20K/yr

AWS Databricks Data Engineer Location : Los Angeles CA (Hybrid) - We are seeking a highly skilled AWS Data Engineer with strong expertise in SQL, Python, PySpark, Data Warehousing, and Cloud-based ET ...

Sr Databricks Data Engineer

Costa Mesa, CA · On-site

$121.40K - $145.80K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Sr Databricks Data Engineer

San Jose, CA

$122.50K - $168.20K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Sr Databricks Data Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Sr Databricks Data Engineer

Costa Mesa, CA · On-site

$112.10K - $154K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Sr Databricks Data Engineer

Los Angeles, CA

$112.60K - $154.60K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Sr Databricks Data Engineer

San Diego, CA

$110.90K - $152.40K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

AWS Databricks Data Engineer

Los Angeles, CA · On-site

$123.40K - $148.20K/yr

AWS Databricks Data Engineer We are seeking a highly skilled AWS Data Engineer with strong expertise in SQL, Python, PySpark, Data Warehousing, and Cloud-based ETL to join our data engineering team.

Sr Databricks Data Engineer

Sacramento, CA

$111.40K - $153K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Data Engineer

Bay Point, CA · On-site

$125.90K - $151.10K/yr

Databricks Data Engineer Location: [Bay Area, CA] Duration : 12+ Months Need experience with Databricks Job Summary: We are seeking a skilled Data Engineer with hands-on Databricks experience to ...

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Showing results 1-20

Databricks Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do databricks data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for databricks data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What are the key skills and qualifications needed to thrive in the Databricks Data Engineer position, and why are they important?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.
What are the most commonly searched types of Databricks Data Engineer jobs in California? The most popular types of Databricks Data Engineer jobs in California are:
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What cities in California are hiring for Databricks Data Engineer jobs? Cities in California with the most Databricks Data Engineer job openings:
Sr Databricks Data Engineer

Sr Databricks Data Engineer

Deloitte

San Francisco, CA • On-site

$134.90K - $162K/yr

Full-time

Posted 6 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm that helps clients leverage modern data platforms for analytics and business transformation. As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments.
Responsibilities:
• Lead the design and implementation of enterprise data pipelines, data models, and cloud-based data architectures using Databricks
• Build and optimize batch and streaming data solutions that support analytics, reporting, and operational use cases
• Advise stakeholders on platform capabilities, architecture decisions, governance controls, and delivery approaches aligned to business objectives
• Drive engineering quality through automation, continuous integration/continuous deployment (CI/CD), performance tuning, and scalable delivery practices
• Contribute to technical best practices, evaluate emerging platform capabilities, and support teams delivering modern data engineering solutions
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, or a related field and 1+ years of experience leading cross-functional data engineering projects or technical teams
• 5+ years of experience in data engineering with a focus on Databricks deployed on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• 5+ years of experience with Apache Spark, Delta Lake, Lakehouse architecture, and enterprise data warehousing, including third normal form (3NF) and dimensional modeling
• Experience building batch and incremental data pipelines using PySpark, Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, or Apache Airflow
• Experience with Databricks Unity Catalog, fine-grained security controls, and continuous integration/continuous deployment (CI/CD) pipeline deployment
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree in Computer Science, Engineering, or a related field
• Experience with one or more cloud ecosystems, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Experience tuning Databricks or Apache Spark workloads for performance and cost efficiency
• Experience with Databricks Lakeflow
• Experience supporting artificial intelligence or machine learning use cases on cloud data platforms
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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